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http://dx.doi.org/10.9708/jksci.2018.23.11.239

A Meta-Analysis on the Effects of Software Education on Computational Thinking  

Kim, Dong-Man (Dept. of Computer Education, Korea National University of Education)
Lee, Tae-Wuk (Dept. of Computer Education, Korea National University of Education)
Abstract
In this paper, we propose to investigate the existing SW education related studies and to collect the total effect size for the improvement of computational thinking(CT) through meta-analysis and to confirm the effect size according to various variables. So, we have objectively identified and generalized the practical effects of SW education on the various variable. The results of the meta-analysis showed that 1) the overall effect of SW educational activities on CT improvement was 'Hedges' g=0.643', so SW educational activity can get a CT improvement of about 24% over other educational activities. 2) EPL is a SW teaching-learning method that greatly improves students' CT. 3) Since SW education can be guaranteed to improve CT among elementary school students and university students, essential SW education for these should be further promoted. And it was found that SW education activity were more effective for CT improvement in small cities & rural areas than big cities, but the cause was not identified, so further study will be required.
Keywords
Meta-Analysis; Computational Thinking; SW Education; Informatics Education; Computing;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Younghak Jin, Youngsik Kim, "A Meta-Analysis on the Effects of Educational Programming Language," The Journal of Korean association of computer education, Vol. 14, No. 3, pp. 25-36, May. 2011.
2 Ministry of Education, "2015 Revised Practical-arts and Informatics curriculum" 2015 Revised National Curriculum, Sep. 2015.
3 Wing, J. M., Computational Thinking. Communication of the ACM, Vol. 49, No. 3, pp. 33-35, Mar. 2006.   DOI
4 Jeong-Won Choi, Young-Jun Lee, "The Design of Method for Evaluating Computational Thinking," Proceedings of the Korean Society of Computer Information Conference, Vol. 22, No. 2, pp. 177-178, Jul. 2014.
5 BCS, "Call for evidence-UK Digital Skills Taskforce" Retrieved from: http://policy.bcs.org, May. 2014.
6 Hyun Kang, "Statistical Considerations in Meta-Analysis Department of Anesthesiology and Pain Medicine," Hanyang Med Rev, Published online https://doi.org/10.75 99/hmr.2015.35.1.23, Feb. 2015.   DOI
7 Glass, G. V., "Primary, secondary and meta-analysis of research," Educational Researcher, Vol. 5, No. 10, pp. 3-8. 1976.   DOI
8 Hedges, H., Olkin, I., "Statistical methods for meta-analysis" Orlando, FL: Academic Press, 1985.
9 Yeonhee Yun, "A Meta-analysis of the relationship between principals' transformational leadership and job satisfaction, organizational effectiveness," Doctoral dissertation, Graduate School of Ewha Womens University, Feb. 2008.
10 Seongsam Oh, "Theory and Practice of Meta-Analysis" Seoul, Korea: Konkuk University Press, 2002.
11 Egger M., Smith GD, Phillips AN, "Meta-analysis: principles and procedures" BMJ, Dec. 1997.
12 Dong-Man Kim, Tae-Wuk Lee, "A Meta-Analysis on the Effects of Educational Programming Language on High-level Thinking," Journal of the Korea Society of Computer and Information, Vol. 23, No. 6, pp. 81-89, Jun. 2018.   DOI
13 SeongKyun Jeon, YoungJun Lee, "Meta-analysis of the programming learning effectiveness depending on the teaching and learning method," Journal of the Korea Society of Computer and Information, Vol. 22, No. 11, pp. 125-133, Nov. 2017.   DOI
14 Younah Jin, "Meta-analysis using Stata," Seoul, Korea: Korea University Press, pp. 102-103, 2015.
15 Borenstein M, Hedges LV, Higgins J, Rothstein HR., "A basic introduction to fixed‐effect and random‐effects models for meta‐analysis," Research Synthesis Methods, Vol. 1, No. 2, pp. 97-111, Apr. 2010.   DOI
16 Cooper, Harris, M., "Research synthesis and meta-analysis: A step-by-step approach" Thousand Oaks, CA: Sage, 2016.
17 SungDong Hwang, Understanding meta-analysis. Seoul: Hakjisa, 2014.
18 Higgins JP, Thompson SG, Deeks JJ, Altman DG., " Measuring inconsistency in meta-analyses," BMJ, Sep. 2003.
19 Duval S, Tweedie R, "Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis" Biometrics, Jun. 2000.
20 Cohen, J., "Statistical power analyst for the behavior science" NY: Academic Press, 1988.